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Prognostic significance of migrasomes in neuroblastoma through machine learning and multi-omics

Unsupervised clustering and clinical relevance of migrasome-associated genesTo comprehend the clinical relevance and distribution of migrasome-related gene expression in neuroblastoma, we performed an unsupervised...

The role of morphometric characteristics in predicting 20-meter sprint performance through machine learning

In conducting this investigation, we adhered to the conceptual framework shown in Fig. 1. The primary components of the research study are the collection of...

Automated construction of cognitive maps with visual predictive coding

Environment simulationForest–cave–river environmentThese experiments leverage the Malmo framework44 to construct a controlled environment within Minecraft. This environment is a rectangular space measuring 40 by...

Establishing a model composed of immune-related gene-modules to predict tumor immunotherapy response

Different outcomes and TIMEs based on different treatment regimens in a murine colon cancer modelAs shown in Fig. 1A, the MC38-tumor-bearing mice were treated with...

Development of a machine learning approach for prediction of red blood cell transfusion in patients undergoing Cesarean section at a single institution

Study design and parturientsThis retrospective study was approved by the Institutional Review Board of the Asan Medical Center (protocol number 2021-0812) and was conducted...

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